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unknown signal
相关语句
  未知信号
    The Resolution of Overlapping Echoes of Unknown Signal Shape
    未知信号形状下的多径回波分辨
短句来源
    Which jo is the best for a given unknown signal and a noise power σ?
    对于一给定的未知信号和噪声指数σ,哪一个jo是最佳的呢 ?
短句来源
    Recognition of the modulation type of an unknown signal provides insight into its structure, origin and properties.
    通过对未知信号调制模式的识别能让我们洞察未知信号的结构、起源以及信号的属性。
短句来源
    This article puts forward the mathematical model of multivariated time series analysis - the autoregression model of linear combination of awarting-decision (ALCAR(n)). Digit imitation analysis shows ALCAN analysis can high precisely estimate the signal character parameters of folding process and high precisely decompose folding process on this condition of unknown signal and noise character parameters.
    本文提出一种多变量时间序列分析的数学模型—待定线性组合自回归模型(ALCAR(n)),数字仿真分析表明在未知信号及噪声特性参数条件下,ALCAR(n)模型分析可以高精度地估出叠加过程中各信号的自回归参数以及高精度地将各叠加信号分解开。
短句来源
    The ability to construct an optimum filter bank corresponding to the adaptive signal properties of the WPT and the merits of the Kalman filter to produce a linear, unbiased, minimum error-variance estimate of an unknown signal and on-line parameters estimating of the measurement noise are employed, which enableds the algorithm to track multiple independent and time-varying narrow-band interferences so that they can be effectively eliminated.
    该方法综合利用了WPT自适应构建信号特性所对应的“最佳”滤波器组的能力和Kalman滤波对未知信号的线性的、无偏的、最小方差估计的特点以及量测噪声参数在线实时估计策略的优点 ,可以很好地恢复多个独立的、时变的窄带干扰以便消除。
短句来源
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  “unknown signal”译为未确定词的双语例句
    A New Algorithm for Multipath Time Delay Estimation of Unknown Signal
    未知波形信号的多径时延估计新方法
短句来源
    Demodulation techniques on digital communication signals, such as MASK, MFSK and MPSK signals, is discussed in this paper. And software demodulation of communication signals in unknown signal processing is mainly dealt with.
    本文主要研究了数字通信信号MASK,MFSK,MPSK信号的解调技术,重点研究了盲信号处理中通信信号的软件解调。
短句来源
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  unknown signal
However, the possible violation of the non-negativity constraint cannot be dealt with on firm statistical grounds, since the model of the unknown signal is compatible with negative realizations.
      
It isproposed that depression of corn seedlings shoot growth is not an effect ofpotassium leakage or lead accumulation but of an unknown signal induced inroots, as a response to exposure to lead, which is transmitted to shoots.
      
fluorescens (as well as in other bacteria) depends essentially on the GacS/GacA two-component system, which activates a largely unknown signal transduction pathway.
      
From these results we conclude that the induction of apoptosis by ceramide may require intact cells in which some unknown signal transduction pathways are involved.
      
This modality poses problems for recognizing an unknown signal in a multi-class environment and for its on-line implementation.
      
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This article puts forward the mathematical model of multivariated time series analysis - the autoregression model of linear combination of awarting-decision (ALCAR(n)).Digit imitation analysis shows ALCAN analysis can high precisely estimate the signal character parameters of folding process and high precisely decompose folding process on this condition of unknown signal and noise character parameters.

本文提出一种多变量时间序列分析的数学模型—待定线性组合自回归模型(ALCAR(n)),数字仿真分析表明在未知信号及噪声特性参数条件下,ALCAR(n)模型分析可以高精度地估出叠加过程中各信号的自回归参数以及高精度地将各叠加信号分解开。

To detect unknown signals,we usually use the generalized likelihood ration test(GLRT).However,the performance of the GLRT is not very good since it does not adequately use the intrinsic characteristic of transients.By introducing the wavelet transform property of transients and noise, this paper presents one method based on the estimation in wavelet tranform domain(EWD).Finally,a comparison between the receiver operating characteristics(ROC)of several detectors is made.

在未知瞬态信号检测中,一般采用广义似然比检测。然而广义似然比检测不能有效利用瞬态信号的固有特性,检测性能不是很好。文中在介绍瞬态信号和噪声的小波变换特性基础上,提出了基于小波变换域估计的检测方法,最后给出了几种检测器的工作特性比较。

Wavelet denoising of Donoho and Johnstone in multiresolution approximation has been evolved to become very powerful tools for digital signal processing.But the determining of the parameter jo ,the low resolution cutoff,is difficult in general case.It needs some regularities of the source signal.Which jo is the best for a given unknown signal and a noise power σ?In this paper,we construct a statistic for looking for the best jo adaptively.We analyze the properties of the statistic and give many...

Wavelet denoising of Donoho and Johnstone in multiresolution approximation has been evolved to become very powerful tools for digital signal processing.But the determining of the parameter jo ,the low resolution cutoff,is difficult in general case.It needs some regularities of the source signal.Which jo is the best for a given unknown signal and a noise power σ?In this paper,we construct a statistic for looking for the best jo adaptively.We analyze the properties of the statistic and give many simulation results.This adaptive method makes the scope of application of the wavelet denoising more widely.

Donoho和Johnstone的多分辨率小波去噪法在数字信号处理方面已成为非常有用的工具 ,但是通常情况下选取低分辨率截段参数jo是很困难的 ,需要源信号的某些正则性 .对于一给定的未知信号和噪声指数σ,哪一个jo是最佳的呢 ?本文对于任意波形的信号构造了一个统计量 ,用于建立一个寻找最佳jo值的自适应方法 ,并对其统计特性进行了分析 ,大量的仿真计算结果表明 ,该算法确实非常准确有效 ,因此使得多分辨率去噪法有了更广泛的应用背景 .

 
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